Abstract

This study combines airborne Doppler Wind Lidar (DWL) observations with high-frequency in situ wind measurements from a gust probe, a combination that to our knowledge has not been used before. The two measurement techniques show a similar mean in the wind components throughout the flights and are then used to study momentum transport in relation to shallow cumulus over land. We present three case studies ranging from forced cumulus humilis to thicker clouds associated with stronger popcorn-like convection after a cold front passage. The wind profiles obtained with the DWL are helpful in explaining the momentum fluxes that are calculated from the 100 Hz in situ data using the eddy covariance method. Most of the momentum flux profiles revealed down-gradient momentum transport that was generally strongest within the mixed-layer and decreasing towards cloud tops. Comparing clear-sky and cloud-topped transects, the cloudy skies revealed a substantial enhancement in the mixed-layer momentum flux (more than twice as much). On one track during the third flight, after a post-cold-front passage and displaying thicker clouds, shows a momentum flux profile that did not decrease linearly with height as expected from shear-driven small-scale turbulence. The momentum in the mixed layer was very small, but a very strong flux has been observed in the cloud layer. Moreover, the updraft contribution to the flux was much larger in this case than in all other tracks that have been flown during the campaign. Last, we look into how much flux the different scales contribute to the overall transport. There we find that the largest scales (up to 7 km) usually carry most flux. However, sometimes the larger scales have opposite contribution to the flux than the scales smaller than 7 km, which can then result in a smaller or almost no net flux.

Highlights

  • Observations of the vertical profile of wind are valuable for reducing forecast errors and for advancing the understanding of processes that influence wind variability, including large-scale dynamics and small-scale processes

  • In this paper we com20 bine state-of-the-art airborne wind lidars combined with traditional in situ turbulence measurements to measure the profile of wind and turbulent wind fluctuations within cloud-topped boundary layers, in which thermally-driven plumes are thought to play an important role in transporting wind

  • Unlike the turbulent wind fluctuations measured in the surface layer through most commercial Doppler Wind Lidar (DWL), few high-resolution wind profiles extend beyond the surface layer (> 200 m) to target wind fluctuations and momentum transport through convective momentum transport (CMT)

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Summary

Introduction

Observations of the vertical profile of wind are valuable for reducing forecast errors and for advancing the understanding of processes that influence wind variability, including large-scale dynamics and small-scale processes. Their derived wind and flux profiles reveal that the momentum flux profile can take a very different shape depending on clouds overhead They found that in field of organised cumulus clouds, the momentum flux profile does not decrease linearly with 45 height as one would expect if only small-scale shear-driven turbulence would play a role. This implies that the net effect of turbulent fluctuations can be to accelerate winds, rather than just decelerate winds through turbulent diffusion. How do the measured momentum flux profiles look like in the sub-cloud layer and in the cloud layer and are they in line with our expectation from theory?

Which scales contribute to the momentum flux?
Flight strategy and measurements
Energy spectra
Eddy-covariance fluxes
Airborne Doppler wind LiDAR
Updraft detection algorithm
Sub-cloud and cloud layer profiles
Scale contributions to flux
Findings
Conclusions
Full Text
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